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Grammatical Bee Colony

  • Conference paper
Swarm, Evolutionary, and Memetic Computing (SEMCCO 2013)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 8297))

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Abstract

This paper presents Grammatical Bee Colony algorithm. Grammatical Bee Colony is variant of Grammatical Evolution algorithm in which Artificial Bee Colony is used as search engine to write a program in any arbitrary language. The performance of Grammatical Bee Colony is tested on benchmark problems. Experimental results shows that Grammatical Bee Colony is able to generate programs.

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Author information

Authors and Affiliations

  1. Department of Computer Science & Engineering, Bankura Unnayani Institute of Enginnering, Bankura, West Bengal, India

    Tapas Si

  2. Department of Information Technology, Dr. B.C Roy Engineering College, Durgapur, W.B, India

    Arunava De

  3. Department of Electronics and Communication Engineering, National Institute of Technology, Durgapur, West Bengal, India

    Anup Kumar Bhattacharjee

Authors
  1. Tapas Si
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  2. Arunava De
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  3. Anup Kumar Bhattacharjee
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Editor information

Editors and Affiliations

  1. Electrical Engineering Dept., IIT Delhi, Hauz Khas, 110016, New Delhi, India

    Bijaya Ketan Panigrahi

  2. School of Electrical and Electronic Engineering, Nanyang Technological University, 639798, Singapore

    Ponnuthurai Nagaratnam Suganthan

  3. Electronics and Communication Sciences Unit, Indian Statistical Institute, 700108, Kolkata, India

    Swagatam Das

  4. SRM Engineering College, Department of Electrical and Electronics Engineering, SRM University, Potheri, Kattankulathur, Kancheepuram, 603203, Tamil Nadu, India

    Shubhransu Sekhar Dash

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© 2013 Springer International Publishing Switzerland

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Si, T., De, A., Bhattacharjee, A.K. (2013). Grammatical Bee Colony. In: Panigrahi, B.K., Suganthan, P.N., Das, S., Dash, S.S. (eds) Swarm, Evolutionary, and Memetic Computing. SEMCCO 2013. Lecture Notes in Computer Science, vol 8297. Springer, Cham. https://doi.org/10.1007/978-3-319-03753-0_39

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  • DOI: https://doi.org/10.1007/978-3-319-03753-0_39

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-03752-3

  • Online ISBN: 978-3-319-03753-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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